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Showing content from https://github.com/donaldRwilliams/BGGM/commit/d57a5ebabd665907622a1c635ca32b5c6c913184 below:

1. seed is now random unless user defined. 2. In case of NA in Y z0_s… · donaldRwilliams/BGGM@d57a5eb · GitHub

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@@ -207,7 +207,7 @@ estimate <- function(Y,

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iter = 5000,

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impute = FALSE,

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progress = TRUE,

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seed = 1,

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seed = NULL,

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...){

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# temporary warning until missing data is fully implemented

@@ -220,10 +220,10 @@ estimate <- function(Y,

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}

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}

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# removed per CRAN (8/12/21)

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#old <- .Random.seed

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set.seed(seed)

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## Random seed unless user provided

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if(!is.null(seed) ) {

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set.seed(seed)

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}

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# delta rho ~ beta(delta/2, delta/2)

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delta <- delta_solve(prior_sd)

@@ -506,11 +506,17 @@ estimate <- function(Y,

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} else {

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## If z0_Start has missing, fill with rnorm

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Y_missing <- ifelse(is.na(Y), 1, 0)

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rank_vars$z0_start[is.na(rank_vars$z0_start)] <- rnorm(sum(Y_missing))

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Y <- na.omit(Y)

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## check if Y contains NA

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contains_na <- any(is.na(Y))

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if( contains_na ) {

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Y <- na.omit(Y)

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## Reassign values when NA are present

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temp_helper <- rank_helper(Y)

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rank_vars$z0_start <- temp_helper$z0_start

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rank_vars$levels <- temp_helper$levels

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warning("Observed variables contain missings:\n No imputation, cases are deleted listwise." )

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}

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post_samp <- .Call(

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"_BGGM_copula",

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